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R. Rios, and J. Lopez, "Exploiting Context-Awareness to Enhance Source-Location Privacy in Wireless Sensor Networks",
The Computer Journal, vol. 54, Oxford University Press, pp. 1603-1615, Sept 2011. DOI (I.F.: 0.785)More..

Abstract

The source-location privacy problem in Wireless Sensor Networks has been traditionally tackled by the creation of random routes for every packet transmitted from the source nodes to the base station. These schemes provide a considerable protection level at a high cost in terms of message delivery time and energy consumption. This overhead is due to the fact that the data routing process is done in a blind way, without knowledge about the location of the attacker. In this work we propose the Context-Aware Location Privacy (CALP) approach, which takes advantage of the ability of sensor nodes to perceive the presence of a mobile adversary in their vicinity in order to transmit data packets in a more energy-efficient and privacy-preserving manner. In particular, we apply the concepts of CALP to the development of a shortest-path CALP routing algorithm. A permissive and a strict version of the protocol are studied for different adversarial models and the proposed schemes are evaluated through simulation experiments in terms of privacy protection and energy consumption. Finally, we present the conclusions of the paper as well as possible extensions of this work.

Impact Factor: 0.785
Journal Citation Reports® Science Edition (Thomson Reuters, 2011)

PDF icon Rios2011b.pdf (573.86 KB)
R. Rios, and J. Lopez, "Evolución y nuevos desafios de privacidad en la Internet de las Cosas",
XIV Reunión Española sobre Criptología y Seguridad de la Información, pp. 209-213, 10/2016. More..

Abstract

La Internet de las Cosas (en inglés, Internet of Things (IoT)) es una evolución de la Internet tal y como lo conocemos. Esta nueva versión de Internet incorpora objetos de la vida cotidiana, rompiendo así barrera de los digital y extendiéndose al mundo físico. Estos objetos interactuarán entre sí y con otras entidades tanto de manera local como remota, y estarán dotados de cierta capacidad computacional y sensores para que sean conscientes de lo que ocurre en su entorno. Esto traerá consigo un sinfín de posibilidades y nuevos servicios, pero también dará lugar a nuevos y mayores riesgos de privacidad para los ciudadanos. En este artículo, estudiamos los problemas de privacidad actuales de una de las tecnologías claves para el desarrollo de este prometedor paradigma, las redes de sensores, y analizamos como pueden evolucionar y surgir nuevos riesgos de privacidad al ser completamente integradas en la Internet.

 

PDF icon Rios2016a.pdf (263.7 KB)
J. Lopez, R. Rios, F. Bao, and G. Wang, "Evolving privacy: From sensors to the Internet of Things",
Future Generation Computer Systems, vol. 75, Elsevier, pp. 46–57, 10/2017. DOI (I.F.: 4.639)More..

Abstract

The Internet of Things (IoT) envisions a world covered with billions of smart, interacting things capable of offering all sorts of services to near and remote entities. The benefits and comfort that the IoT will bring about are undeniable, however, these may come at the cost of an unprecedented loss of privacy. In this paper we look at the privacy problems of one of the key enablers of the IoT, namely wireless sensor networks, and analyse how these problems may evolve with the development of this complex paradigm. We also identify further challenges which are not directly associated with already existing privacy risks but will certainly have a major impact in our lives if not taken into serious consideration. 

Impact Factor: 4.639
Journal Citation Reports® Science Edition (Thomson Reuters, 2017)

PDF icon Lopez2017iotpriv.pdf (440.5 KB)
J. A. Onieva, R. Rios, R. Roman, and J. Lopez, "Edge-Assisted Vehicular Networks Security",
IEEE Internet of Things Journal, vol. 6, issue 5, IEEE Computer Society, pp. 8038-8045, 10/2019. DOI (I.F.: 9.936)More..

Abstract

Edge Computing paradigms are expected to solve some major problems affecting current application scenarios that rely on Cloud computing resources to operate. These novel paradigms will bring computational resources closer to the users and by doing so they will not only reduce network latency and bandwidth utilization but will also introduce some attractive context-awareness features to these systems. In this paper we show how the enticing features introduced by Edge Computing paradigms can be exploited to improve security and privacy in the critical scenario of vehicular networks (VN), especially existing authentication and revocation issues. In particular, we analyze the security challenges in VN and describe three deployment models for vehicular edge computing, which refrain from using vehicular- to-vehicular communications. The result is that the burden imposed to vehicles is considerably reduced without sacrificing the security or functional features expected in vehicular scenarios.

Impact Factor: 9.936
Journal Citation Reports® Science Edition (Thomson Reuters, 2019)

PDF icon onieva2019vec.pdf (416.43 KB)
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